Happy holidays to everyone!

Last week, a couple of my friends and I bought some of the holiday snacks/products at trader joes to taste test and review. We gave each item a rating from 1-10 and the ratings are in the order [Mark, Allison, Devika]. Here are our takes:

  1. Mini Gingerbread People [5,6.5,8.5]

  2. Peppermint Chocolate Chunk Cookie Mix [7,6,6]

  3. Dark Chocolate Covered Peppermint Joe Joe's [9,9,8.5]

  4. Dark Chocolate Covered Minty Mallows [4,4,2]

Okay now let's look at the ratings data!

import numpy as np
import pandas as pd 

one = np.array([5.5,6.5,8.5])
data1 = pd.Series(one, index =["mark","allison", "dev"], name='gingermen')

two = np.array([7,6,6])
data2 = pd.Series(two, index =["mark","allison", "dev"],name='cookiemix')

three = np.array([9,9,8.5])
data3 = pd.Series(three, index =["mark","allison", "dev"], name='joejoes')

four = np.array([4,4,2])
data4 = pd.Series(four, index =["mark","allison", "dev"], name='mintymarshmallow')

data = pd.concat([data1,data2,data3,data4], axis=1)
dataflip = data.T
print(dataflip)
##                   mark  allison  dev
## gingermen          5.5      6.5  8.5
## cookiemix          7.0      6.0  6.0
## joejoes            9.0      9.0  8.5
## mintymarshmallow   4.0      4.0  2.0
library(reticulate)
library(ggplot2)
library(tidyr)

summary(py$data)
##    gingermen       cookiemix        joejoes      mintymarshmallow
##  Min.   :5.500   Min.   :6.000   Min.   :8.500   Min.   :2.000   
##  1st Qu.:6.000   1st Qu.:6.000   1st Qu.:8.750   1st Qu.:3.000   
##  Median :6.500   Median :6.000   Median :9.000   Median :4.000   
##  Mean   :6.833   Mean   :6.333   Mean   :8.833   Mean   :3.333   
##  3rd Qu.:7.500   3rd Qu.:6.500   3rd Qu.:9.000   3rd Qu.:4.000   
##  Max.   :8.500   Max.   :7.000   Max.   :9.000   Max.   :4.000

After looking at the summary data, we can see that the joejoes were clearly the most liked snack! Go get em! #This post is not sponsored by Trader Joes.